Pandas Profiling Report

Dataset statistics

Number of variables	30
Number of observations	26996
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	6.2 MiB
Average record size in memory	240.0 B

Variable types

Numeric	13
Categorical	17

Alerts

`user` is highly correlated with `cc_recommended` and 1 other fields	High correlation
`deposits` is highly correlated with `withdrawal` and 2 other fields	High correlation
`withdrawal` is highly correlated with `deposits` and 1 other fields	High correlation
`purchases_partners` is highly correlated with `deposits` and 2 other fields	High correlation
`purchases` is highly correlated with `deposits` and 2 other fields	High correlation
`cc_recommended` is highly correlated with `user` and 3 other fields	High correlation
`cc_application_begin` is highly correlated with `cc_recommended` and 1 other fields	High correlation
`web_user` is highly correlated with `app_web_user`	High correlation
`app_web_user` is highly correlated with `web_user`	High correlation
`ios_user` is highly correlated with `android_user`	High correlation
`android_user` is highly correlated with `ios_user`	High correlation
`reward_rate` is highly correlated with `user` and 2 other fields	High correlation
`user` is highly correlated with `cc_recommended`	High correlation
`deposits` is highly correlated with `purchases`	High correlation
`purchases_partners` is highly correlated with `cc_recommended`	High correlation
`purchases` is highly correlated with `deposits`	High correlation
`cc_recommended` is highly correlated with `user` and 3 other fields	High correlation
`cc_application_begin` is highly correlated with `cc_recommended` and 1 other fields	High correlation
`web_user` is highly correlated with `app_web_user`	High correlation
`app_web_user` is highly correlated with `web_user`	High correlation
`ios_user` is highly correlated with `android_user`	High correlation
`android_user` is highly correlated with `ios_user`	High correlation
`reward_rate` is highly correlated with `cc_recommended` and 1 other fields	High correlation
`deposits` is highly correlated with `withdrawal` and 1 other fields	High correlation
`withdrawal` is highly correlated with `deposits` and 1 other fields	High correlation
`purchases` is highly correlated with `deposits` and 1 other fields	High correlation
`cc_recommended` is highly correlated with `cc_application_begin` and 1 other fields	High correlation
`cc_application_begin` is highly correlated with `cc_recommended` and 1 other fields	High correlation
`web_user` is highly correlated with `app_web_user`	High correlation
`app_web_user` is highly correlated with `web_user`	High correlation
`ios_user` is highly correlated with `android_user`	High correlation
`android_user` is highly correlated with `ios_user`	High correlation
`reward_rate` is highly correlated with `cc_recommended` and 1 other fields	High correlation
`ios_user` is highly correlated with `android_user`	High correlation
`android_user` is highly correlated with `ios_user`	High correlation
`web_user` is highly correlated with `app_web_user`	High correlation
`app_web_user` is highly correlated with `web_user`	High correlation
`user` is highly correlated with `app_downloaded` and 1 other fields	High correlation
`deposits` is highly correlated with `purchases`	High correlation
`purchases` is highly correlated with `deposits`	High correlation
`cc_recommended` is highly correlated with `reward_rate`	High correlation
`app_downloaded` is highly correlated with `user`	High correlation
`web_user` is highly correlated with `app_web_user`	High correlation
`app_web_user` is highly correlated with `web_user`	High correlation
`ios_user` is highly correlated with `android_user`	High correlation
`android_user` is highly correlated with `ios_user`	High correlation
`reward_rate` is highly correlated with `user` and 1 other fields	High correlation
`cc_disliked` is highly skewed (γ1 = 54.97976002)	Skewed
`cc_liked` is highly skewed (γ1 = 64.8845572)	Skewed
`df_index` is uniformly distributed	Uniform
`df_index` has unique values	Unique
`deposits` has 18152 (67.2%) zeros	Zeros
`withdrawal` has 22991 (85.2%) zeros	Zeros
`purchases_partners` has 8652 (32.0%) zeros	Zeros
`purchases` has 18291 (67.8%) zeros	Zeros
`cc_taken` has 25701 (95.2%) zeros	Zeros
`cc_recommended` has 3763 (13.9%) zeros	Zeros
`cc_disliked` has 26440 (97.9%) zeros	Zeros
`cc_liked` has 26766 (99.1%) zeros	Zeros
`cc_application_begin` has 7424 (27.5%) zeros	Zeros
`reward_rate` has 3595 (13.3%) zeros	Zeros

Reproduction

Analysis started	2022-12-13 07:15:29.840927
Analysis finished	2022-12-13 07:16:01.337560
Duration	31.5 seconds
Software version	pandas-profiling v3.2.0
Download configuration	config.json

df_index
Real number (ℝ_≥0)

UNIFORM
UNIQUE

Distinct	26996
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	13500.26878

Minimum	0
Maximum	26999
Zeros	1
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	211.0 KiB

Quantile statistics

Minimum	0
5-th percentile	1349.75
Q1	6750.75
median	13500.5
Q3	20250.25
95-th percentile	25649.25
Maximum	26999
Range	26999
Interquartile range (IQR)	13499.5

Descriptive statistics

Standard deviation	7794.356275
Coefficient of variation (CV)	0.5773482293
Kurtosis	-1.200023109
Mean	13500.26878
Median Absolute Deviation (MAD)	6750
Skewness	-8.408521038 × 10^-5
Sum	364453256
Variance	60751989.75
Monotonicity	Strictly increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2047	1	< 0.1%
25958	1	< 0.1%
7465	1	< 0.1%
1322	1	< 0.1%
3371	1	< 0.1%
13612	1	< 0.1%
15661	1	< 0.1%
9518	1	< 0.1%
11567	1	< 0.1%
21824	1	< 0.1%
Other values (26986)	26986	> 99.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1	< 0.1%
1	1	< 0.1%
2	1	< 0.1%
3	1	< 0.1%
4	1	< 0.1%
5	1	< 0.1%
6	1	< 0.1%
7	1	< 0.1%
8	1	< 0.1%
9	1	< 0.1%

Value	Count	Frequency (%)
26999	1	< 0.1%
26998	1	< 0.1%
26997	1	< 0.1%
26996	1	< 0.1%
26995	1	< 0.1%
26994	1	< 0.1%
26993	1	< 0.1%
26992	1	< 0.1%
26991	1	< 0.1%
26990	1	< 0.1%

user
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	24737
Distinct (%)	91.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	35418.5353

Minimum	1
Maximum	69658
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	211.0 KiB

Quantile statistics

Minimum	1
5-th percentile	3401.75
Q1	17808.75
median	35745.5
Q3	53236.75
95-th percentile	66432.25
Maximum	69658
Range	69657
Interquartile range (IQR)	35428

Descriptive statistics

Standard deviation	20319.62035
Coefficient of variation (CV)	0.5737001878
Kurtosis	-1.218291786
Mean	35418.5353
Median Absolute Deviation (MAD)	17757
Skewness	-0.04003022018
Sum	956158779
Variance	412886971.3
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
64159	4	< 0.1%
58072	4	< 0.1%
15612	4	< 0.1%
34933	4	< 0.1%
21975	4	< 0.1%
56327	4	< 0.1%
64241	4	< 0.1%
54516	4	< 0.1%
24490	4	< 0.1%
43342	4	< 0.1%
Other values (24727)	26956	99.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	1	< 0.1%
4	1	< 0.1%
8	1	< 0.1%
9	1	< 0.1%
10	1	< 0.1%
11	1	< 0.1%
13	1	< 0.1%
14	1	< 0.1%
18	1	< 0.1%
19	1	< 0.1%

Value	Count	Frequency (%)
69658	1	< 0.1%
69655	1	< 0.1%
69653	1	< 0.1%
69651	1	< 0.1%
69650	1	< 0.1%
69649	1	< 0.1%
69647	1	< 0.1%
69644	1	< 0.1%
69643	1	< 0.1%
69640	1	< 0.1%

churn
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	211.0 KiB

0	15822
1	11174

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	26996
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	1

Common Values

Value	Count	Frequency (%)
0	15822	58.6%
1	11174	41.4%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	15822	58.6%
1	11174	41.4%

Most occurring characters

Value	Count	Frequency (%)
0	15822	58.6%
1	11174	41.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	26996	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	15822	58.6%
1	11174	41.4%

Most occurring scripts

Value	Count	Frequency (%)
Common	26996	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	15822	58.6%
1	11174	41.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	26996	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	15822	58.6%
1	11174	41.4%

age
Real number (ℝ_≥0)

Distinct	73
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	32.21992147

Minimum	17
Maximum	91
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	211.0 KiB

Quantile statistics

Minimum	17
5-th percentile	20
Q1	25
median	30
Q3	37
95-th percentile	52
Maximum	91
Range	74
Interquartile range (IQR)	12

Descriptive statistics

Standard deviation	9.964837841
Coefficient of variation (CV)	0.3092756713
Kurtosis	1.570692416
Mean	32.21992147
Median Absolute Deviation (MAD)	6
Skewness	1.180387561
Sum	869809
Variance	99.29799319
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
26	1440	5.3%
25	1405	5.2%
27	1371	5.1%
24	1370	5.1%
28	1327	4.9%
23	1282	4.7%
29	1267	4.7%
30	1155	4.3%
22	1122	4.2%
31	1060	3.9%
Other values (63)	14197	52.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
17	64	0.2%
18	215	0.8%
19	443	1.6%
20	780	2.9%
21	987	3.7%
22	1122	4.2%
23	1282	4.7%
24	1370	5.1%
25	1405	5.2%
26	1440	5.3%

Value	Count	Frequency (%)
91	2	< 0.1%
89	1	< 0.1%
88	1	< 0.1%
87	1	< 0.1%
85	4	< 0.1%
84	2	< 0.1%
83	1	< 0.1%
82	1	< 0.1%
81	1	< 0.1%
80	2	< 0.1%

housing
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	211.0 KiB

na	13856
R	10969
O	2171

Length

Max length	2
Median length	2
Mean length	1.513261224
Min length	1

Characters and Unicode

Total characters	40852
Distinct characters	4
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	na
2nd row	R
3rd row	R
4th row	R
5th row	na

Common Values

Value	Count	Frequency (%)
na	13856	51.3%
R	10969	40.6%
O	2171	8.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
na	13856	51.3%
r	10969	40.6%
o	2171	8.0%

Most occurring characters

Value	Count	Frequency (%)
a	13856	33.9%
n	13856	33.9%
R	10969	26.9%
O	2171	5.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	27712	67.8%
Uppercase Letter	13140	32.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	13856	50.0%
n	13856	50.0%

Uppercase Letter

Value	Count	Frequency (%)
R	10969	83.5%
O	2171	16.5%

Most occurring scripts

Value	Count	Frequency (%)
Latin	40852	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	13856	33.9%
n	13856	33.9%
R	10969	26.9%
O	2171	5.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	40852	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	13856	33.9%
n	13856	33.9%
R	10969	26.9%
O	2171	5.3%

deposits
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	66
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.342050674

Minimum	0
Maximum	65
Zeros	18152
Zeros (%)	67.2%
Negative	0
Negative (%)	0.0%
Memory size	211.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	1
95-th percentile	22
Maximum	65
Range	65
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	9.131991934
Coefficient of variation (CV)	2.732451666
Kurtosis	15.35084463
Mean	3.342050674
Median Absolute Deviation (MAD)	0
Skewness	3.798010992
Sum	90222
Variance	83.39327668
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	18152	67.2%
1	2461	9.1%
2	1085	4.0%
3	679	2.5%
4	454	1.7%
5	401	1.5%
6	328	1.2%
7	266	1.0%
8	207	0.8%
9	193	0.7%
Other values (56)	2770	10.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	18152	67.2%
1	2461	9.1%
2	1085	4.0%
3	679	2.5%
4	454	1.7%
5	401	1.5%
6	328	1.2%
7	266	1.0%
8	207	0.8%
9	193	0.7%

Value	Count	Frequency (%)
65	1	< 0.1%
64	2	< 0.1%
63	2	< 0.1%
62	7	< 0.1%
61	4	< 0.1%
60	26	0.1%
59	20	0.1%
58	19	0.1%
57	26	0.1%
56	22	0.1%

withdrawal
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	23
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.3070454882

Minimum	0
Maximum	29
Zeros	22991
Zeros (%)	85.2%
Negative	0
Negative (%)	0.0%
Memory size	211.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	2
Maximum	29
Range	29
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	1.055487779
Coefficient of variation (CV)	3.437561599
Kurtosis	95.87654918
Mean	0.3070454882
Median Absolute Deviation (MAD)	0
Skewness	7.323229548
Sum	8289
Variance	1.114054453
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=23)

Value	Count	Frequency (%)
0	22991	85.2%
1	2203	8.2%
2	853	3.2%
3	434	1.6%
4	205	0.8%
5	108	0.4%
6	65	0.2%
7	39	0.1%
8	33	0.1%
9	18	0.1%
Other values (13)	47	0.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	22991	85.2%
1	2203	8.2%
2	853	3.2%
3	434	1.6%
4	205	0.8%
5	108	0.4%
6	65	0.2%
7	39	0.1%
8	33	0.1%
9	18	0.1%

Value	Count	Frequency (%)
29	1	< 0.1%
28	1	< 0.1%
24	1	< 0.1%
20	1	< 0.1%
19	1	< 0.1%
17	1	< 0.1%
16	3	< 0.1%
15	4	< 0.1%
14	1	< 0.1%
13	5	< 0.1%

purchases_partners
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	294
Distinct (%)	1.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	28.06667654

Minimum	0
Maximum	1067
Zeros	8652
Zeros (%)	32.0%
Negative	0
Negative (%)	0.0%
Memory size	211.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	9
Q3	43
95-th percentile	108
Maximum	1067
Range	1067
Interquartile range (IQR)	43

Descriptive statistics

Standard deviation	42.22143182
Coefficient of variation (CV)	1.50432602
Kurtosis	33.21208618
Mean	28.06667654
Median Absolute Deviation (MAD)	9
Skewness	3.449851935
Sum	757688
Variance	1782.649305
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	8652	32.0%
1	1093	4.0%
2	812	3.0%
3	727	2.7%
4	554	2.1%
5	501	1.9%
6	387	1.4%
7	386	1.4%
9	316	1.2%
8	298	1.1%
Other values (284)	13270	49.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	8652	32.0%
1	1093	4.0%
2	812	3.0%
3	727	2.7%
4	554	2.1%
5	501	1.9%
6	387	1.4%
7	386	1.4%
8	298	1.1%
9	316	1.2%

Value	Count	Frequency (%)
1067	1	< 0.1%
833	1	< 0.1%
709	1	< 0.1%
694	1	< 0.1%
612	1	< 0.1%
524	1	< 0.1%
490	1	< 0.1%
447	2	< 0.1%
446	1	< 0.1%
408	1	< 0.1%

purchases
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	64
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.273966514

Minimum	0
Maximum	63
Zeros	18291
Zeros (%)	67.8%
Negative	0
Negative (%)	0.0%
Memory size	211.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	1
95-th percentile	22
Maximum	63
Range	63
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	8.953651403
Coefficient of variation (CV)	2.734802377
Kurtosis	15.27079914
Mean	3.273966514
Median Absolute Deviation (MAD)	0
Skewness	3.79020009
Sum	88384
Variance	80.16787345
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	18291	67.8%
1	2388	8.8%
2	1059	3.9%
3	678	2.5%
4	445	1.6%
5	403	1.5%
6	327	1.2%
7	262	1.0%
8	210	0.8%
9	196	0.7%
Other values (54)	2737	10.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	18291	67.8%
1	2388	8.8%
2	1059	3.9%
3	678	2.5%
4	445	1.6%
5	403	1.5%
6	327	1.2%
7	262	1.0%
8	210	0.8%
9	196	0.7%

Value	Count	Frequency (%)
63	1	< 0.1%
62	1	< 0.1%
61	3	< 0.1%
60	15	0.1%
59	13	< 0.1%
58	23	0.1%
57	19	0.1%
56	19	0.1%
55	43	0.2%
54	21	0.1%

cc_taken
Real number (ℝ_≥0)

ZEROS

Distinct	12
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.07378870944

Minimum	0
Maximum	29
Zeros	25701
Zeros (%)	95.2%
Negative	0
Negative (%)	0.0%
Memory size	211.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	0
Maximum	29
Range	29
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.4373306733
Coefficient of variation (CV)	5.926796615
Kurtosis	792.3324864
Mean	0.07378870944
Median Absolute Deviation (MAD)	0
Skewness	17.58909071
Sum	1992
Variance	0.1912581178
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=12)

Value	Count	Frequency (%)
0	25701	95.2%
1	923	3.4%
2	218	0.8%
3	75	0.3%
4	45	0.2%
5	16	0.1%
6	11	< 0.1%
10	2	< 0.1%
7	2	< 0.1%
29	1	< 0.1%
Other values (2)	2	< 0.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	25701	95.2%
1	923	3.4%
2	218	0.8%
3	75	0.3%
4	45	0.2%
5	16	0.1%
6	11	< 0.1%
7	2	< 0.1%
8	1	< 0.1%
10	2	< 0.1%

Value	Count	Frequency (%)
29	1	< 0.1%
11	1	< 0.1%
10	2	< 0.1%
8	1	< 0.1%
7	2	< 0.1%
6	11	< 0.1%
5	16	0.1%
4	45	0.2%
3	75	0.3%
2	218	0.8%

cc_recommended
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	325
Distinct (%)	1.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	92.63950215

Minimum	0
Maximum	522
Zeros	3763
Zeros (%)	13.9%
Negative	0
Negative (%)	0.0%
Memory size	211.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	10
median	65
Q3	164
95-th percentile	261
Maximum	522
Range	522
Interquartile range (IQR)	154

Descriptive statistics

Standard deviation	88.8687734
Coefficient of variation (CV)	0.9592967508
Kurtosis	-0.7894641265
Mean	92.63950215
Median Absolute Deviation (MAD)	62
Skewness	0.6773721605
Sum	2500896
Variance	7897.658886
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	3763	13.9%
5	757	2.8%
1	440	1.6%
10	401	1.5%
6	338	1.3%
15	318	1.2%
4	276	1.0%
20	243	0.9%
2	232	0.9%
11	228	0.8%
Other values (315)	20000	74.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	3763	13.9%
1	440	1.6%
2	232	0.9%
3	211	0.8%
4	276	1.0%
5	757	2.8%
6	338	1.3%
7	158	0.6%
8	169	0.6%
9	184	0.7%

Value	Count	Frequency (%)
522	1	< 0.1%
326	1	< 0.1%
324	1	< 0.1%
323	2	< 0.1%
322	1	< 0.1%
321	2	< 0.1%
320	5	< 0.1%
318	1	< 0.1%
316	1	< 0.1%
315	3	< 0.1%

cc_disliked
Real number (ℝ_≥0)

SKEWED
ZEROS

Distinct	20
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.05063713143

Minimum	0
Maximum	65
Zeros	26440
Zeros (%)	97.9%
Negative	0
Negative (%)	0.0%
Memory size	211.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	0
Maximum	65
Range	65
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.871430837
Coefficient of variation (CV)	17.20932471
Kurtosis	3703.501684
Mean	0.05063713143
Median Absolute Deviation (MAD)	0
Skewness	54.97976002
Sum	1367
Variance	0.7593917037
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=20)

Value	Count	Frequency (%)
0	26440	97.9%
1	363	1.3%
2	78	0.3%
4	36	0.1%
3	34	0.1%
5	11	< 0.1%
6	9	< 0.1%
8	3	< 0.1%
15	3	< 0.1%
9	3	< 0.1%
Other values (10)	16	0.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	26440	97.9%
1	363	1.3%
2	78	0.3%
3	34	0.1%
4	36	0.1%
5	11	< 0.1%
6	9	< 0.1%
7	2	< 0.1%
8	3	< 0.1%
9	3	< 0.1%

Value	Count	Frequency (%)
65	1	< 0.1%
62	1	< 0.1%
59	2	< 0.1%
25	1	< 0.1%
23	1	< 0.1%
15	3	< 0.1%
13	1	< 0.1%
12	2	< 0.1%
11	3	< 0.1%
10	2	< 0.1%

cc_liked
Real number (ℝ_≥0)

SKEWED
ZEROS

Distinct	9
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.01311305379

Minimum	0
Maximum	27
Zeros	26766
Zeros (%)	99.1%
Negative	0
Negative (%)	0.0%
Memory size	211.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	0
Maximum	27
Range	27
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.2381752869
Coefficient of variation (CV)	18.16322046
Kurtosis	6449.922431
Mean	0.01311305379
Median Absolute Deviation (MAD)	0
Skewness	64.8845572
Sum	354
Variance	0.05672746727
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=9)

Value	Count	Frequency (%)
0	26766	99.1%
1	182	0.7%
2	26	0.1%
3	11	< 0.1%
4	6	< 0.1%
9	2	< 0.1%
27	1	< 0.1%
10	1	< 0.1%
8	1	< 0.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	26766	99.1%
1	182	0.7%
2	26	0.1%
3	11	< 0.1%
4	6	< 0.1%
8	1	< 0.1%
9	2	< 0.1%
10	1	< 0.1%
27	1	< 0.1%

Value	Count	Frequency (%)
27	1	< 0.1%
10	1	< 0.1%
9	2	< 0.1%
8	1	< 0.1%
4	6	< 0.1%
3	11	< 0.1%
2	26	0.1%
1	182	0.7%
0	26766	99.1%

cc_application_begin
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	128
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	8.199066528

Minimum	0
Maximum	263
Zeros	7424
Zeros (%)	27.5%
Negative	0
Negative (%)	0.0%
Memory size	211.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	4
Q3	11
95-th percentile	31
Maximum	263
Range	263
Interquartile range (IQR)	11

Descriptive statistics

Standard deviation	12.49777045
Coefficient of variation (CV)	1.52429187
Kurtosis	29.36777685
Mean	8.199066528
Median Absolute Deviation (MAD)	4
Skewness	3.855547005
Sum	221342
Variance	156.1942662
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	7424	27.5%
1	2293	8.5%
2	1895	7.0%
3	1495	5.5%
4	1350	5.0%
5	1205	4.5%
6	1050	3.9%
7	905	3.4%
8	847	3.1%
9	785	2.9%
Other values (118)	7747	28.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	7424	27.5%
1	2293	8.5%
2	1895	7.0%
3	1495	5.5%
4	1350	5.0%
5	1205	4.5%
6	1050	3.9%
7	905	3.4%
8	847	3.1%
9	785	2.9%

Value	Count	Frequency (%)
263	1	< 0.1%
230	1	< 0.1%
184	1	< 0.1%
183	1	< 0.1%
161	1	< 0.1%
148	2	< 0.1%
147	2	< 0.1%
140	2	< 0.1%
138	1	< 0.1%
136	1	< 0.1%

app_downloaded
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	211.0 KiB

1	25714
0	1282

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	26996
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	25714	95.3%
0	1282	4.7%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
1	25714	95.3%
0	1282	4.7%

Most occurring characters

Value	Count	Frequency (%)
1	25714	95.3%
0	1282	4.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	26996	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	25714	95.3%
0	1282	4.7%

Most occurring scripts

Value	Count	Frequency (%)
Common	26996	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	25714	95.3%
0	1282	4.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	26996	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	25714	95.3%
0	1282	4.7%

web_user
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	211.0 KiB

1	16364
0	10632

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	26996
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	0
4th row	0
5th row	1

Common Values

Value	Count	Frequency (%)
1	16364	60.6%
0	10632	39.4%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
1	16364	60.6%
0	10632	39.4%

Most occurring characters

Value	Count	Frequency (%)
1	16364	60.6%
0	10632	39.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	26996	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	16364	60.6%
0	10632	39.4%

Most occurring scripts

Value	Count	Frequency (%)
Common	26996	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	16364	60.6%
0	10632	39.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	26996	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	16364	60.6%
0	10632	39.4%

app_web_user
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	211.0 KiB

1	15167
0	11829

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	26996
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	0
4th row	0
5th row	1

Common Values

Value	Count	Frequency (%)
1	15167	56.2%
0	11829	43.8%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
1	15167	56.2%
0	11829	43.8%

Most occurring characters

Value	Count	Frequency (%)
1	15167	56.2%
0	11829	43.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	26996	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	15167	56.2%
0	11829	43.8%

Most occurring scripts

Value	Count	Frequency (%)
Common	26996	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	15167	56.2%
0	11829	43.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	26996	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	15167	56.2%
0	11829	43.8%

ios_user
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	211.0 KiB

0	16360
1	10636

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	26996
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	16360	60.6%
1	10636	39.4%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	16360	60.6%
1	10636	39.4%

Most occurring characters

Value	Count	Frequency (%)
0	16360	60.6%
1	10636	39.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	26996	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	16360	60.6%
1	10636	39.4%

Most occurring scripts

Value	Count	Frequency (%)
Common	26996	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	16360	60.6%
1	10636	39.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	26996	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	16360	60.6%
1	10636	39.4%

android_user
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	211.0 KiB

1	15853
0	11143

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	26996
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	15853	58.7%
0	11143	41.3%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
1	15853	58.7%
0	11143	41.3%

Most occurring characters

Value	Count	Frequency (%)
1	15853	58.7%
0	11143	41.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	26996	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	15853	58.7%
0	11143	41.3%

Most occurring scripts

Value	Count	Frequency (%)
Common	26996	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	15853	58.7%
0	11143	41.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	26996	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	15853	58.7%
0	11143	41.3%

registered_phones
Categorical

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	211.0 KiB

0	21956
2	4048
3	754
4	183
5	55

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	26996
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	2
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	21956	81.3%
2	4048	15.0%
3	754	2.8%
4	183	0.7%
5	55	0.2%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	21956	81.3%
2	4048	15.0%
3	754	2.8%
4	183	0.7%
5	55	0.2%

Most occurring characters

Value	Count	Frequency (%)
0	21956	81.3%
2	4048	15.0%
3	754	2.8%
4	183	0.7%
5	55	0.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	26996	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	21956	81.3%
2	4048	15.0%
3	754	2.8%
4	183	0.7%
5	55	0.2%

Most occurring scripts

Value	Count	Frequency (%)
Common	26996	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	21956	81.3%
2	4048	15.0%
3	754	2.8%
4	183	0.7%
5	55	0.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	26996	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	21956	81.3%
2	4048	15.0%
3	754	2.8%
4	183	0.7%
5	55	0.2%

payment_type
Categorical

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	211.0 KiB

Bi-Weekly	12713
Weekly	5289
na	3899
Monthly	2656
Semi-Monthly	2439

Length

Max length	12
Median length	9
Mean length	7.475514891
Min length	2

Characters and Unicode

Total characters	201809
Distinct characters	16
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Bi-Weekly
2nd row	Weekly
3rd row	Semi-Monthly
4th row	Bi-Weekly
5th row	Bi-Weekly

Common Values

Value	Count	Frequency (%)
Bi-Weekly	12713	47.1%
Weekly	5289	19.6%
na	3899	14.4%
Monthly	2656	9.8%
Semi-Monthly	2439	9.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
bi-weekly	12713	47.1%
weekly	5289	19.6%
na	3899	14.4%
monthly	2656	9.8%
semi-monthly	2439	9.0%

Most occurring characters

Value	Count	Frequency (%)
e	38443	19.0%
y	23097	11.4%
l	23097	11.4%
k	18002	8.9%
W	18002	8.9%
-	15152	7.5%
i	15152	7.5%
B	12713	6.3%
n	8994	4.5%
h	5095	2.5%
Other values (6)	24062	11.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	148408	73.5%
Uppercase Letter	38249	19.0%
Dash Punctuation	15152	7.5%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	38443	25.9%
y	23097	15.6%
l	23097	15.6%
k	18002	12.1%
i	15152	10.2%
n	8994	6.1%
h	5095	3.4%
t	5095	3.4%
o	5095	3.4%
a	3899	2.6%

Uppercase Letter

Value	Count	Frequency (%)
W	18002	47.1%
B	12713	33.2%
M	5095	13.3%
S	2439	6.4%

Dash Punctuation

Value	Count	Frequency (%)
-	15152	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	186657	92.5%
Common	15152	7.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	38443	20.6%
y	23097	12.4%
l	23097	12.4%
k	18002	9.6%
W	18002	9.6%
i	15152	8.1%
B	12713	6.8%
n	8994	4.8%
h	5095	2.7%
t	5095	2.7%
Other values (5)	18967	10.2%

Common

Value	Count	Frequency (%)
-	15152	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	201809	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	38443	19.0%
y	23097	11.4%
l	23097	11.4%
k	18002	8.9%
W	18002	8.9%
-	15152	7.5%
i	15152	7.5%
B	12713	6.3%
n	8994	4.5%
h	5095	2.5%
Other values (6)	24062	11.9%

waiting_4_loan
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	211.0 KiB

0	26961
1	35

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	26996
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	26961	99.9%
1	35	0.1%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	26961	99.9%
1	35	0.1%

Most occurring characters

Value	Count	Frequency (%)
0	26961	99.9%
1	35	0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	26996	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	26961	99.9%
1	35	0.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	26996	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	26961	99.9%
1	35	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	26996	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	26961	99.9%
1	35	0.1%

cancelled_loan
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	211.0 KiB

0	26488
1	508

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	26996
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	26488	98.1%
1	508	1.9%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	26488	98.1%
1	508	1.9%

Most occurring characters

Value	Count	Frequency (%)
0	26488	98.1%
1	508	1.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	26996	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	26488	98.1%
1	508	1.9%

Most occurring scripts

Value	Count	Frequency (%)
Common	26996	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	26488	98.1%
1	508	1.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	26996	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	26488	98.1%
1	508	1.9%

received_loan
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	211.0 KiB

0	26505
1	491

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	26996
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	26505	98.2%
1	491	1.8%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	26505	98.2%
1	491	1.8%

Most occurring characters

Value	Count	Frequency (%)
0	26505	98.2%
1	491	1.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	26996	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	26505	98.2%
1	491	1.8%

Most occurring scripts

Value	Count	Frequency (%)
Common	26996	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	26505	98.2%
1	491	1.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	26996	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	26505	98.2%
1	491	1.8%

rejected_loan
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	211.0 KiB

0	26864
1	132

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	26996
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	26864	99.5%
1	132	0.5%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	26864	99.5%
1	132	0.5%

Most occurring characters

Value	Count	Frequency (%)
0	26864	99.5%
1	132	0.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	26996	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	26864	99.5%
1	132	0.5%

Most occurring scripts

Value	Count	Frequency (%)
Common	26996	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	26864	99.5%
1	132	0.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	26996	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	26864	99.5%
1	132	0.5%

zodiac_sign
Categorical

Distinct	13
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	211.0 KiB

Cancer	2424
Virgo	2410
Leo	2374
Taurus	2236
Gemini	2168
Other values (8)	15384

Length

Max length	11
Median length	9
Mean length	5.866535783
Min length	2

Characters and Unicode

Total characters	158373
Distinct characters	23
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Leo
2nd row	Leo
3rd row	Capricorn
4th row	Capricorn
5th row	Aries

Common Values

Value	Count	Frequency (%)
Cancer	2424	9.0%
Virgo	2410	8.9%
Leo	2374	8.8%
Taurus	2236	8.3%
Gemini	2168	8.0%
na	2155	8.0%
Libra	2128	7.9%
Pisces	2127	7.9%
Scorpio	2118	7.8%
Aquarius	2117	7.8%
Other values (3)	4739	17.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
cancer	2424	9.0%
virgo	2410	8.9%
leo	2374	8.8%
taurus	2236	8.3%
gemini	2168	8.0%
na	2155	8.0%
libra	2128	7.9%
pisces	2127	7.9%
scorpio	2118	7.8%
aquarius	2117	7.8%
Other values (3)	4739	17.6%

Most occurring characters

Value	Count	Frequency (%)
i	22031	13.9%
r	18854	11.9%
a	15854	10.0%
s	12664	8.0%
e	11094	7.0%
u	10762	6.8%
o	9702	6.1%
n	7429	4.7%
c	7351	4.6%
L	4502	2.8%
Other values (13)	38130	24.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	133532	84.3%
Uppercase Letter	24841	15.7%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
i	22031	16.5%
r	18854	14.1%
a	15854	11.9%
s	12664	9.5%
e	11094	8.3%
u	10762	8.1%
o	9702	7.3%
n	7429	5.6%
c	7351	5.5%
g	4466	3.3%
Other values (5)	13325	10.0%

Uppercase Letter

Value	Count	Frequency (%)
L	4502	18.1%
S	4174	16.8%
A	4118	16.6%
C	3106	12.5%
V	2410	9.7%
T	2236	9.0%
G	2168	8.7%
P	2127	8.6%

Most occurring scripts

Value	Count	Frequency (%)
Latin	158373	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
i	22031	13.9%
r	18854	11.9%
a	15854	10.0%
s	12664	8.0%
e	11094	7.0%
u	10762	6.8%
o	9702	6.1%
n	7429	4.7%
c	7351	4.6%
L	4502	2.8%
Other values (13)	38130	24.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	158373	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
i	22031	13.9%
r	18854	11.9%
a	15854	10.0%
s	12664	8.0%
e	11094	7.0%
u	10762	6.8%
o	9702	6.1%
n	7429	4.7%
c	7351	4.6%
L	4502	2.8%
Other values (13)	38130	24.1%

left_for_two_month_plus
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	211.0 KiB

0	22313
1	4683

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	26996
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	0
3rd row	1
4th row	0
5th row	1

Common Values

Value	Count	Frequency (%)
0	22313	82.7%
1	4683	17.3%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	22313	82.7%
1	4683	17.3%

Most occurring characters

Value	Count	Frequency (%)
0	22313	82.7%
1	4683	17.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	26996	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	22313	82.7%
1	4683	17.3%

Most occurring scripts

Value	Count	Frequency (%)
Common	26996	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	22313	82.7%
1	4683	17.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	26996	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	22313	82.7%
1	4683	17.3%

left_for_one_month
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	211.0 KiB

0	26508
1	488

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	26996
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	26508	98.2%
1	488	1.8%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	26508	98.2%
1	488	1.8%

Most occurring characters

Value	Count	Frequency (%)
0	26508	98.2%
1	488	1.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	26996	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	26508	98.2%
1	488	1.8%

Most occurring scripts

Value	Count	Frequency (%)
Common	26996	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	26508	98.2%
1	488	1.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	26996	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	26508	98.2%
1	488	1.8%

reward_rate
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	193
Distinct (%)	0.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.9078189361

Minimum	0
Maximum	4
Zeros	3595
Zeros (%)	13.3%
Negative	0
Negative (%)	0.0%
Memory size	211.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0.2
median	0.78
Q3	1.53
95-th percentile	2.2
Maximum	4
Range	4
Interquartile range (IQR)	1.33

Descriptive statistics

Standard deviation	0.7519905542
Coefficient of variation (CV)	0.8283486104
Kurtosis	-0.7558210633
Mean	0.9078189361
Median Absolute Deviation (MAD)	0.65
Skewness	0.4945052192
Sum	24507.48
Variance	0.5654897936
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	3595	13.3%
0.07	802	3.0%
0.03	523	1.9%
0.5	523	1.9%
0.13	493	1.8%
1	493	1.8%
2.23	451	1.7%
0.1	411	1.5%
0.67	407	1.5%
0.33	376	1.4%
Other values (183)	18922	70.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	3595	13.3%
0.03	523	1.9%
0.04	59	0.2%
0.05	49	0.2%
0.06	41	0.2%
0.07	802	3.0%
0.08	52	0.2%
0.09	27	0.1%
0.1	411	1.5%
0.11	39	0.1%

Value	Count	Frequency (%)
4	33	0.1%
3.8	1	< 0.1%
3.67	1	< 0.1%
3.6	1	< 0.1%
3.53	1	< 0.1%
3.5	2	< 0.1%
3.3	3	< 0.1%
3.18	1	< 0.1%
3	15	0.1%
2.93	1	< 0.1%

is_referred
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	211.0 KiB

0	18411
1	8585

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	26996
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	1
3rd row	0
4th row	1
5th row	0

Common Values

Value	Count	Frequency (%)
0	18411	68.2%
1	8585	31.8%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	18411	68.2%
1	8585	31.8%

Most occurring characters

Value	Count	Frequency (%)
0	18411	68.2%
1	8585	31.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	26996	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	18411	68.2%
1	8585	31.8%

Most occurring scripts

Value	Count	Frequency (%)
Common	26996	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	18411	68.2%
1	8585	31.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	26996	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	18411	68.2%
1	8585	31.8%

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows

	df_index	user	churn	age	housing	deposits	withdrawal	purchases_partners	purchases	cc_taken	cc_recommended	cc_disliked	cc_application_begin	app_downloaded	web_user	app_web_user	ios_user	android_user	registered_phones	payment_type	zodiac_sign	left_for_two_month_plus	reward_rate	is_referred
0	0	55409	0	37.0	na	0	0	0	0	0	0	0	0	1	1	1	1	0	0	Bi-Weekly	Leo	1	0.00	0
1	1	23547	0	28.0	R	0	0	1	0	0	96	0	5	1	1	1	1	0	0	Weekly	Leo	0	1.47	1
2	2	58313	0	35.0	R	47	2	86	47	0	285	0	9	1	0	0	0	1	2	Semi-Monthly	Capricorn	1	2.17	0
3	3	8095	0	26.0	R	26	3	38	25	0	74	0	26	1	0	0	0	1	0	Bi-Weekly	Capricorn	0	1.10	1
4	4	61353	1	27.0	na	0	0	2	0	0	0	0	0	1	1	1	0	1	0	Bi-Weekly	Aries	1	0.03	0
5	5	3120	1	32.0	R	5	3	111	5	0	227	0	17	1	1	1	0	1	0	Bi-Weekly	Taurus	0	1.83	0
6	6	41406	0	21.0	na	0	0	4	0	0	0	0	0	1	0	0	0	1	0	Bi-Weekly	Cancer	0	0.07	0
7	7	67679	0	24.0	na	0	0	2	0	0	0	0	0	1	0	0	0	1	0	na	Leo	0	0.11	0
8	8	21269	0	28.0	R	0	0	0	0	2	47	1	9	1	1	1	1	0	0	Bi-Weekly	Sagittarius	0	0.87	1
9	9	25788	0	23.0	na	1	0	87	1	0	125	0	3	1	1	1	1	0	0	Bi-Weekly	Aquarius	0	1.07	0

Last rows

	df_index	user	churn	age	housing	deposits	withdrawal	purchases_partners	purchases	cc_recommended	cc_application_begin	app_downloaded	web_user	app_web_user	ios_user	android_user	registered_phones	payment_type	rejected_loan	zodiac_sign	left_for_two_month_plus	reward_rate	is_referred
26986	26990	32870	0	29.0	R	1	1	70	1	147	46	1	0	0	1	0	0	Bi-Weekly	0	Cancer	0	1.07	1
26987	26991	49367	0	30.0	na	0	0	2	0	4	0	1	0	0	0	1	0	Bi-Weekly	0	Leo	0	0.03	0
26988	26992	65830	1	20.0	R	0	0	2	0	5	0	1	1	1	0	1	0	Bi-Weekly	0	Leo	1	0.13	0
26989	26993	41813	0	29.0	na	1	1	5	1	5	0	1	0	0	0	1	0	Bi-Weekly	0	Scorpio	1	0.03	0
26990	26994	49903	1	28.0	R	0	0	26	0	31	0	1	0	0	0	1	0	Monthly	0	Virgo	0	0.60	0
26991	26995	24291	1	24.0	R	0	0	0	0	81	2	1	1	1	0	1	2	Weekly	0	Leo	0	1.07	1
26992	26996	4116	1	26.0	na	0	0	2	0	1	0	1	1	1	0	1	0	Bi-Weekly	1	Cancer	1	0.67	0
26993	26997	23740	0	22.0	na	0	0	37	0	98	0	1	1	1	0	1	0	Bi-Weekly	0	Taurus	0	0.93	0
26994	26998	47663	1	46.0	na	2	0	16	2	58	2	1	1	1	1	0	0	Semi-Monthly	0	Aries	1	0.90	1
26995	26999	52752	1	34.0	na	0	0	4	0	11	0	1	0	0	1	1	2	na	0	Cancer	0	0.13	0

Overview

Variables

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block